Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel

Keigo Takeuchi (Corresponding Author), Mikko Vehkaperä, Toshiyuki Tanaka, Ralf R. Müller

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

Abstract

This paper analyzes performance of optimal channel estimation and multiuser detection (MUD) in a block-fading code-division multiple-access (CDMA) channel on the assumptions of random spreading and large-system limit, by using the replica method developed in statistical mechanics. The authors find that the asymptotic spectral efficiency of the linear minimum mean-squared error (LMMSE) MUD which was proposed and analyzed by Evans and Tse in 2000 is indistinguishable from that of the optimal MUD for small system loads. Our results imply that performance of MUD scarcely improves even if one spends more computational cost than that of the LMMSE MUD, i. e., at most the cube of the number of users, on the above-described conditions.

Original languageEnglish
Pages (from-to)22-34
JournalJournal of Systems Science and Complexity
Volume23
Issue number1
DOIs
Publication statusPublished - 1 Feb 2010
MoE publication typeA1 Journal article-refereed

Fingerprint

Multiuser detection
Channel estimation
Code division multiple access
Statistical mechanics
Costs

Keywords

  • Channel estimation
  • Code-division multiple-access (CDMA) systems
  • Multiuser detection
  • Replica method
  • Spectral efficiency

Cite this

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abstract = "This paper analyzes performance of optimal channel estimation and multiuser detection (MUD) in a block-fading code-division multiple-access (CDMA) channel on the assumptions of random spreading and large-system limit, by using the replica method developed in statistical mechanics. The authors find that the asymptotic spectral efficiency of the linear minimum mean-squared error (LMMSE) MUD which was proposed and analyzed by Evans and Tse in 2000 is indistinguishable from that of the optimal MUD for small system loads. Our results imply that performance of MUD scarcely improves even if one spends more computational cost than that of the LMMSE MUD, i. e., at most the cube of the number of users, on the above-described conditions.",
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Performance analysis of optimal channel estimation and multiuser detection in a randomly-spread CDMA channel. / Takeuchi, Keigo (Corresponding Author); Vehkaperä, Mikko; Tanaka, Toshiyuki; Müller, Ralf R.

In: Journal of Systems Science and Complexity, Vol. 23, No. 1, 01.02.2010, p. 22-34.

Research output: Contribution to journalArticleScientificpeer-review

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